inference-latency-profiler
Profile inference latency profiler operations. Auto-activating skill for ML Deployment. Triggers on: inference latency profiler, inference latency profiler Part of the ML Deployment skill category. Use when working with inference latency profiler functionality. Trigger with phrases like "inference latency profiler", "inference profiler", "inference". '
npx skills add jeremylongshore/claude-code-plugins-plus-skills --skill inference-latency-profiler --agent claude-code
Same command for any agent — swap --agent for codex, cursor, copilot.
Weekly change comes from our own snapshots, not the repository page — it measures attention, not adoption.
# Inference Latency Profiler ## Overview This skill provides automated assistance for inference latency profiler tasks within the ML Deployment domain. ## When to Use This skill activates automatically when you: - Mention "inference latency profiler" in your request - Ask about inference latency profiler patterns or best practices - Need help with machine learning deployment skills covering model
What does the inference-latency-profiler skill do?
Profile inference latency profiler operations. Auto-activating skill for ML Deployment. Triggers on: inference latency profiler, inference latency profiler Part of the ML Deployment skill category. Use when working with inference latency profiler functionality. Trigger with phrases like "inference latency profiler", "inference profiler", "inference". '
How do I install it?
Run `npx skills add jeremylongshore/claude-code-plugins-plus-skills --skill inference-latency-profiler --agent claude-code` — it drops the skill into your project so the agent can pick it up. Swap the --agent value for codex, cursor or copilot if you use one of those.
Where does this skill come from?
From jeremylongshore/claude-code-plugins-plus-skills, a repository with 2,596 stars. We read it straight from the repository tree rather than a submitted listing, so what you see here is what is actually published.
Is a popular skill a good skill?
Not necessarily. Stars measure attention, not adoption — a repository can trend for a week and be abandoned. That is why we show the weekly change from our own snapshots next to the total, instead of a single flattering number.